News

SLIM improves LLM agent performance 7 percentage points

WildClawBench: Claude Opus Clears 62% in Real-World Agent Evaluation

Muon Optimizer Achieves 2× Speed Over AdamW in Production LLM Training

Paper Dismantles Causal Discovery Claim in Prediction Models

Flow-OPD Raises Stable Diffusion Accuracy to 92 From 63

Shepherd Raises Agent Accuracy 90% With Forking Traces

Sparse MoE Models Match Dense Transformers at 3× Faster Inference

CIVeX Logs Zero False Executions in Confounded Workflows

Frozen Models Encode Semantic Roles Without Fine-Tuning